#!/usr/bin/env python3
# Copyright 2024 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

from absl import app
from absl import flags

import tensorflow as tf

_MODEL_PATH = flags.DEFINE_string(
    name='model_file',
    default='',
    help='path for the .tflite model file.',
)


def _main(_):
  """outputs model analysis to stdout/stderr"""
  tf.lite.experimental.Analyzer.analyze(model_path=_MODEL_PATH.value)


if __name__ == '__main__':
  app.run(_main)
